Why the catalog sets the ceiling

Search and merchandising read fields, not intentions.

Bloomreach can only rank, recommend and facet on the attributes it receives. Inconsistent categories and missing fields do not degrade gracefully - they quietly narrow what discovery can do.

Attribute completeness

The fields ranking and recommendation logic depend on, populated across the catalog.

Normalized taxonomy

Rules standardize categories and values so merchandising groups the way you intend.

Availability awareness

Sold-out SKUs drop from results and recommendations before they disappoint.

One source of truth

The same governed catalog behind your channels powers onsite discovery.

How it works

Connected in three steps.

01

Connect your store

Your full catalog imports automatically with variants, attributes and inventory.

02

Shape the data

Rules normalize values and fill the fields discovery logic reads.

03

Sync on schedule

Catalog changes flow through automatically, keeping the index current.

1

governed catalog behind discovery and every channel.

40+

channels the same catalog can feed.

0

separate exports for the discovery index to drift on.

Questions, answered

Bloomreach integration questions.

What data does Bloomreach consume?

A structured product catalog - titles, attributes, categories, imagery, price and availability - delivered normalized and current.

Why does normalization matter?

Facets and merchandising rules read exact values. Five spellings of one color become five facets - rules collapse them to one.

How current is the catalog?

As current as your schedule. Changes flow through automatically.

Other AI agents

Be readable everywhere shoppers ask.

No items found.

Make your catalog the answer

Light closer. Renders for AI agent type only, which spends its dark beat on the hero.

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